


from typing import List, Optional, TypeVar

from .arrow_dataset import Dataset, _concatenate_map_style_datasets, _interleave_map_style_datasets
from .dataset_dict import DatasetDict, IterableDatasetDict
from .info import DatasetInfo
from .iterable_dataset import IterableDataset, _concatenate_iterable_datasets, _interleave_iterable_datasets
from .splits import NamedSplit
from .utils import logging
from .utils.py_utils import Literal


__UpperCamelCase     		=							logging.get_logger(__name__)


__UpperCamelCase     		=							TypeVar('DatasetType', Dataset, IterableDataset)
def 							UpperCamelCase_(					_A :List[DatasetType]					,  _A :Optional[List[float]] = None					,  _A :Optional[int] = None					,  _A :Optional[DatasetInfo] = None					,  _A :Optional[NamedSplit] = None					,  _A :Literal["first_exhausted", "all_exhausted"] = "first_exhausted"					,  )->		DatasetType:
			from .arrow_dataset import Dataset
			from .iterable_dataset import IterableDataset

			if not datasets:
						raise ValueError("Unable to interleave an empty list of datasets."	)
			for i, dataset in enumerate(_A	):
						if not isinstance(_A					,  (Dataset, IterableDataset)	):
									if isinstance(_A					,  (DatasetDict, IterableDatasetDict)	):
												if not dataset:
															raise ValueError(
															    F'''Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} '''
															    "is an empty dataset dictionary."	)
												raise ValueError(
												    F'''Dataset at position {i} has at least one split: {list(_A	)}\n'''
												    F'''Please pick one to interleave with the other datasets, for example: dataset[\'{next(iter(_A	)	)}\']'''	)
									raise ValueError(
									    F'''Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} is a {type(_A	).__name__}.'''	)
						if i == 0:
									UpperCamelCase__,   UpperCamelCase__       =							(
									    (Dataset, IterableDataset) if isinstance(_A					,  _A	) else (IterableDataset, Dataset)
									)
						elif not isinstance(_A					,  _A	):
									raise ValueError(
									    F'''Unable to interleave a {dataset_type.__name__} (at position 0) with a {other_type.__name__} (at position {i}). Expected a list of Dataset objects or a list of IterableDataset objects.'''	)
			if stopping_strategy not in ["first_exhausted", "all_exhausted"]:
						raise ValueError(F'''{stopping_strategy} is not supported. Please enter a valid stopping_strategy.'''	)
			if dataset_type is Dataset:
						return _interleave_map_style_datasets(
						    _A					,  _A					,  _A					,  info=_A					,  split=_A					,  stopping_strategy=_A	)
			else:
						return _interleave_iterable_datasets(
						    _A					,  _A					,  _A					,  info=_A					,  split=_A					,  stopping_strategy=_A	)







def 							UpperCamelCase_(					_A :List[DatasetType]					,  _A :Optional[DatasetInfo] = None					,  _A :Optional[NamedSplit] = None					,  _A :int = 0					,  )->		DatasetType:

			if not dsets:
						raise ValueError("Unable to concatenate an empty list of datasets."	)
			for i, dataset in enumerate(_A	):
						if not isinstance(_A					,  (Dataset, IterableDataset)	):
									if isinstance(_A					,  (DatasetDict, IterableDatasetDict)	):
												if not dataset:
															raise ValueError(
															    F'''Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} '''
															    "is an empty dataset dictionary."	)
												raise ValueError(
												    F'''Dataset at position {i} has at least one split: {list(_A	)}\n'''
												    F'''Please pick one to interleave with the other datasets, for example: dataset[\'{next(iter(_A	)	)}\']'''	)
									raise ValueError(
									    F'''Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} is a {type(_A	).__name__}.'''	)
						if i == 0:
									UpperCamelCase__,   UpperCamelCase__       =							(
									    (Dataset, IterableDataset) if isinstance(_A					,  _A	) else (IterableDataset, Dataset)
									)
						elif not isinstance(_A					,  _A	):
									raise ValueError(
									    F'''Unable to interleave a {dataset_type.__name__} (at position 0) with a {other_type.__name__} (at position {i}). Expected a list of Dataset objects or a list of IterableDataset objects.'''	)
			if dataset_type is Dataset:
						return _concatenate_map_style_datasets(_A					,  info=_A					,  split=_A					,  axis=_A	)
			else:
						return _concatenate_iterable_datasets(_A					,  info=_A					,  split=_A					,  axis=_A	)






def 							UpperCamelCase_(					_A :Union[str, Any]	)->		List[str]:
			UpperCamelCase__       =							[0] * len(_A	)
			UpperCamelCase__       =							[]
			UpperCamelCase__       =							[]
			UpperCamelCase__       =							0

			for values in graph.values():
						for i in values:
									indegree[i] += 1

			for i in range(len(_A	)	):
						if indegree[i] == 0:
									queue.append(_A	)

			while queue:
						UpperCamelCase__       =							queue.pop(0	)
						cnt += 1
						topo.append(_A	)
						for x in graph[vertex]:
									indegree[x] -= 1
									if indegree[x] == 0:
												queue.append(_A	)

			if cnt != len(_A	):
						print("Cycle exists"	)
			else:
						print(_A	)


# Adjacency List of Graph
__UpperCamelCase     		=							{0: [1, 2], 1: [3], 2: [3], 3: [4, 5], 4: [], 5: []}







topological_sort(graph)


